The Mortgage Office

DevOps Engineer

• Own and operate all cloud infrastructure on Microsoft Azure including Compute, networking, IAM, and scaling
• Implement Infrastructure as Code using Terraform, Bicep, or equivalent
• Manage and support AI/ML workloads deployed on Azure, including Azure AI Foundry and related services
• Design, build, and maintain CI/CD pipelines using GitHub Actions
• Implement observability across systems including logging, metrics, and error tracking using tools such as Sentry, Azure Monitor, and Prometheus
• Participate in on-call rotations and lead incident resolution.

Azure DevOps Engineer

AI Engineer

• Build and maintain production-grade AI pipelines for document ingestion, OCR, and entity extraction.
• Use LLMs and retrieval-augmented techniques for accurate data classification, and apply rules and graph-based models to represent relationships between borrowers, entities, and assets.
• Work with team to implement agentic in-app experience that enable users to interrogate, explore, and act on data insights.
• Implement observability and feedback loops to monitor model performance, implement human-in-the-loop validation, and continuously improve accuracy over time.

QA Engineer

• Test end-to-end product flows across frontend, backend, and APIs of an event based system
• Design structured test cases for prompt-based features
• Build and maintain test datasets
• Define evaluation criteria for AI outputs
• Run regression testing when prompts or models change
• Automate repeatable tests
• Track quality metrics over time (output quality, failure rate, latency issues)

Azure DevOps Engineer

AI Engineer

QA Engineer, AI